在車載網路環境中，當車輛走過一段道路後，會將自身在此一路段所花費的行駛時間當成交通報告散佈給其他車輛，其他車輛可根據所收集到的交通報告來規劃行駛路徑。一般而言路徑規劃會選擇較快的行駛路徑，而較快的行駛路徑都會經過一些較不壅塞的路段。但如果一定時間內有大量車輛同時選擇一條原本順暢的道路時，此時大量車輛便會擠進這條道路，使得原本順暢的道路變為壅塞。本論文提出一個根據路段擁塞程度來選擇行駛路徑的方法，使車輛成功分流，改善道路擁塞情況進而減少車輛的行駛時間。
本研究使用NS2作模擬實驗，比較在有分流及沒有分流的情況下，車輛的行駛效率，實驗結果顯示本研究的分流機制能有效地減少壅塞情況並縮短車輛行駛時間。

In a Vehicular Ad-Hoc Network (VANET), once a vehicle travels though a road segment, it will broadcast the time spent in the road segment among other vehicles in the network. A vehicle in the network can use the traveling times of road segments to schedule an efficient path toward its final destination. Generally speaking, vehicles tend to travel through more efficient road segments in their scheduled paths. However, when many vehicles select to travel through the same efficient road segments at the same time, traffic jams occur on the road segments. In this thesis we therefore propose a method for traffic diversion in a VANET. With the proposed method, a vehicle randomly selects a road segment at an intersection as its next traveling road segment. The probability of a road segment being selected is in proportion to the inverse of the road segment's traveling time.
We performed several experiments using NS2 to examine the performance of the proposed method. The experimental results showed that the proposed method reduces the average traveling time of a vehicle in the VANET.

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